FLAME-VQA: A Fuzzy Logic-Based Model for High Frame Rate Video Quality Assessment
Future Internet, 2023 In the quest to optimize user experience, network, and service, providers continually seek to deliver high-quality content tailored to individual preferences. However, predicting user perception of quality remains a challenging task, given the subjective
Štefica Mrvelj, Marko Matulin
doaj +4 more sources
Blind Video Quality Assessment for Ultra-High-Definition Video Based on Super-Resolution and Deep Reinforcement Learning [PDF]
Sensors, 2023 Ultra-high-definition (UHD) video has brought new challenges to objective video quality assessment (VQA) due to its high resolution and high frame rate.
Zefeng Ying, Da Pan, Ping Shi
doaj +2 more sources
No-Reference Video Quality Assessment Using the Temporal Statistics of Global and Local Image Features [PDF]
Sensors, 2022 During acquisition, storage, and transmission, the quality of digital videos degrades significantly. Low-quality videos lead to the failure of many computer vision applications, such as object tracking or detection, intelligent surveillance, etc.
Domonkos Varga
doaj +2 more sources
Video quality prediction and classification using XGBoost under variable encoding and network conditions [PDF]
Scientific ReportsThis study presents a machine learning-based framework for video quality assessment (VQA). This framework enables the mapping of objective metric outputs, such as Structural Similarity Index Measure (SSIM) and Video Multimethod Assessment Fusion (VMAF ...
Jaroslav Frnda +4 more
doaj +2 more sources
Towards Quality Assessment for Arbitrary Translational 6DoF Video: Subjective Quality Database and Objective Assessment Metric [PDF]
EntropyArbitrary translational Six Degrees of Freedom (6DoF) video represents a transitional stage towards immersive terminal videos, allowing users to freely switch viewpoints for a 3D scene experience. However, the increased freedom of movement introduces new
Chongchong Jin, Yeyao Chen
doaj +2 more sources
A Perspective on Quality Evaluation for AI-Generated Videos [PDF]
SensorsRecent breakthroughs in AI-generated content (AIGC) have transformed video creation, empowering systems to translate text, images, or audio into visually compelling stories.
Zhichao Zhang, Wei Sun, Guangtao Zhai
doaj +2 more sources
Factors impacting human-perceived visual quality on television displays [PDF]
Frontiers in NeuroscienceThere is a growing interest in understanding the factors that influence a user's perception and preferences for video quality. This study specifically focuses on how various factors, including video content, display settings, viewer characteristics, and ...
Eddie Pei +3 more
doaj +2 more sources
A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning. [PDF]
Adv Intell SystThis work proposes a multimodal medical collaborative reasoning framework, which imitates clinician's working patterns of comparative analysis. The framework includes a cohort of domain‐expert models, and an large language model learner agent to generate inquiries and interact with these experts to gather the essential information, and integrate the ...
Gu Z, Liu F, Chen J, Yin C, Zhang P.
europepmc +2 more sources
Objective Underwater Video Quality Assessment Model via Two-Stream Networks [PDF]
Jisuanji kexue yu tansuo, 2023 Underwater videos often suffer from quality degradation. On the one hand, the exponential attenuation of the natural light in water media leads to the loss of underwater video quality.
SONG Wei, XIAO Yi, DU Yanling, ZHANG Minghua
doaj +1 more source
Deep attributes and decisions fusion for no-reference video quality analysis [PDF]
Big Data and Computing Visions, 2023 Video Quality Assessment (VQA) is a critical component of various technologies, including automated video broadcasting through displaying technologies.
Adil Baig
doaj +1 more source